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ORCIDMühenad Bilal
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Journal Articles
- 2024
[j2]Mühenad Bilal
, Ranadheer Podishetti, Leonid Koval, Mahmoud A. Gaafar, Daniel Grossmann, Markus Bregulla:
Automatized End Mill Wear Inspection Using a Novel Illumination Unit and Convolutional Neural Network. IEEE Access 12: 124282-124297 (2024)- [j1]Mühenad Bilal, Ranadheer Podishetti, Leonid Koval, Mahmoud A. Gaafar, Daniel Grossmann, Markus Bregulla:
The Effect of Annotation Quality on Wear Semantic Segmentation by CNN. Sensors 24(15): 4777 (2024)
Conference and Workshop Papers
- 2022
- [c3]Mühenad Bilal, Christian Mayer, Sunil Kancharana, Markus Bregulla, Rafal Cupek, Adam Ziebinski:
Damage Detection of Coated Milling Tools Using Images Captured by Cylindrical Shaped Enclosure Measurement Setup. ICCCI (CCIS Volume) 2022: 264-272 - [c2]Mühenad Bilal, Sunil Kancharana, Christian Mayer, Daniel Pfaller, Leonid Koval, Markus Bregulla, Rafal Cupek, Adam Ziebinski:
High Resolution Mask R-CNN-based Damage Detection on Titanium Nitride Coated Milling Tools for Condition Monitoring by using a New Illumination Technique. VISIGRAPP (5: VISAPP) 2022: 305-314 - 2021
- [c1]Leonid Koval, Daniel Pfaller, Mühenad Bilal, Markus Bregulla, Rafal Cupek:
An Analysis of Convolutional Neural Network Models for Classifying Machine Tools. ICCCI (CCIS Volume) 2021: 461-473
Coauthor Index
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last updated on 2024-10-04 21:00 CEST by the dblp team
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